dr. G. (Gabriele) Paolacci

Department of Marketing Management

Rotterdam School of Management (RSM)

Erasmus University Rotterdam

Member ERIM

Field: Marketing

Affiliated since 2012

T: +31 10 4081715

E: gpaolacci@rsm.nl

Gabriele Paolacci is an Associate Professor of Marketing at Rotterdam School of Management, Erasmus University. Gabriele joined RSM after graduate studies at Ca' Foscari University of Venice (where he got his PhD) and at Ross School of Business, University of Michigan (where he was a visiting scholar).

In his research, Gabriele's focuses on substantive and methodological issues in consumer judgment and decision-making. Within the substantive domain, he studies how people’s decisions seemingly contradict the assumptions and prescriptions of rational choice theory. He also conducts empirical research into the practices of data collection in the behavioral sciences. He has investigated whether crowdsourced samples (e.g., MTurk workers) provide data of high quality, and how to attenuate their distinctive threats to experimental validity (e.g., nonnaive participants, study impostors). He is an advocate of open science practices.

Gabriele's research has been published in leading journals in marketing (e.g., Journal of Marketing Research, Journal of Consumer Research, Journal of Consumer Psychology), management (Management Science, Organizational Behavior and Human Decision Processes), psychology (e.g., Psychological Science, Trends in Cognitive Sciences), and beyond. Gabriele is the recipient of a VENI research grant by NWO, as well as of several ERIM Research Awards (2015 Outstanding Performance by a Young Researcher Award, 2018 Top Article Impact Award, 2020 Open Science Award). He is currently an Associate Editor at Psychological Science, and a member of the editorial review board of the Journal of Consumer Psychology.

Gabriele currently teaches People & Organisations (MSc), Influencing People: Psychology and Practice (undergraduate), and Behavioural Management Science (undergraduate). He frequently coaches and gives workshops on managerial decision-making to MBA and EMBA students, and co-teaches an executive program titled "Leading with Decision Driven Analytics".

For more information see his CV or check www.gabrielepaolacci.com.

Publications

Article (22)

Academic (20)
- Paolacci, G., & Andre, Q. (2024). Probabilistic Outcomes Are Valued Less in Expectation, Even Conditional on Their Realization. Management Science, 70(11), 7521. https://doi.org/10.17605/OSF.IO/4MUE3
- Leung, E., Cito, MC., Paolacci, G., & Puntoni, S. (2022). Preference for Material Products in Identity-Based Consumption. Journal of Consumer Psychology, 32(4), 672-679. https://doi.org/10.1002/jcpy.1272
- Paolacci, G., & Yalcin, G. (2020). Fewer but poorer: Benevolent partiality in prosocial preferences. Judgment and Decision Making, 15(2), 173-181.
- Rick, S., Paolacci, G., & Burson, K. (2018). Income Tax and the Motivation to Work. Journal of Behavioral Decision Making, 31(5), 619-631. https://doi.org/10.1002/bdm.2078
- Leung, E., Paolacci, G., & Puntoni, S. (2018). Man Versus Machine: Resisting Automation in Identity-Based Consumer Behavior. Journal of Marketing Research, 55(6), 818-831. https://doi.org/10.1509/jmr.16.0443
- Paolacci, G., & Chandler, J. (2018). Direct replications in the era of open sampling (commentary on “Making replication mainstream” by Zwaan, Etz, Lucas, and Donnellan). Behavioral and Brain Sciences, 41(2018), E144. https://doi.org/10.1017/S0140525X18000808
- Stewart, N., Chandler, J., & Paolacci, G. (2017). Crowdsourcing Samples in Cognitive Science. Trends in Cognitive Sciences, 21(10), 736-748. https://doi.org/10.1016/j.tics.2017.06.007
- Zwaan, R., Pecher, D., Paolacci, G., Bouwmeester, S., Verkoeijen, P., Dijkstra, K., & Zeelenberg, R. (2017). Participant Nonnaiveté and the reproducibility of cognitive psychology. Psychonomic Bulletin and Review, 25(5), 1968-1972. https://doi.org/10.3758/s13423-017-1348-y
- Goodman, JK., & Paolacci, G. (2017). Crowdsourcing Consumer Research. Journal of Consumer Research, 44(1), 196-210. https://doi.org/10.1093/jcr/ucx047
- Chandler, J., & Paolacci, G. (2017). Lie for a Dime: When most prescreening responses are honest but most study participants are imposters. Social Psychological and Personality Science, 8(5), 500-508. https://doi.org/10.1177/1948550617698203
- Dannenberg, A., Löschel, A., Paolacci, G., Reif, C., & Tavoni, A. (2015). On the Provision of Public Goods with Probabilistic and Ambiguous Thresholds. Environmental and Resource Economics, 61(3), 365-383. https://doi.org/10.1007/s10640-014-9796-6
- Paolacci, G., Straeter, L., & Hooge, IE. (2015). Give Me Your Self: Gifts are Liked More When They Match the Giver's Characteristics. Journal of Consumer Psychology, 25(3), 487-494. https://doi.org/10.1016/j.jcps.2015.01.006
- Chandler, J., Paolacci, G., Peer, E., Mueller, P., & Ratliff, KA. (2015). Using nonnaive participants can reduce effect sizes. Psychological Science, 26(7), 1131-1139. https://doi.org/10.1177/0956797615585115
- Stewart, N., Ungemach, C., Harris, A., Bartels, D., Newell, B., Paolacci, G., & Chandler, J. (2015). The Average Laboratory Samples a Population of 7,300 Amazon Mechanical Turk Workers. Judgment and Decision Making, 10(5), 479-491.
- Paolacci, G., & Chandler, J. (2014). Inside the Turk: Understanding Mechanical Turk as a Participant Pool. Current Directions in Psychological Science, 23(3), 184-188. https://doi.org/10.1177/0963721414531598
- Sweldens, S., Puntoni, S., Paolacci, G., & Vissers, M. (2014). The Bias in the Bias: Comparative Optimism as a Function of Event Social Undesirability. Organizational Behavior and Human Decision Processes, 124(2), 229-244. https://doi.org/10.1016/j.obhdp.2014.03.007
- Chandler, J., Mueller, P., & Paolacci, G. (2013). Nonnaïveté among Amazon Mechanical Turk workers: Consequences and solutions for behavioral researchers. Behavior Research Methods, 46(1), 112-130. https://doi.org/10.3758/s13428-013-0365-7
- Paolacci, G., & Legrenzi, E. P. (2012). Financial literacy e abilità cognitive: uno studio empirico. Giornale Italiano di Psicologia, 39(3), 707-716. https://doi.org/10.1421/38779
- Paolacci, G., Burson, K., & Rick, S. (2011). The intermediate alternative effect: Considering a small tradeoff increases subsequent willingness to make large tradeoffs. Journal of Consumer Psychology, 21(4), 384-392. https://doi.org/10.1016/j.jcps.2011.04.005
- Paolacci, G., Chandler, J., & Ipeirotis, P. (2010). Running experiments on Amazon Mechanical Turk. Judgment and Decision Making, 5(5), 411-419. http://hdl.handle.net/1765/97680
Professional (2)
- Paolacci, G. (2018). Crowdsourced consumer data: how do we make sure it's good? RSM Discovery - Management Knowledge, 34(2), 10-11. http://hdl.handle.net/1765/108776
- Paolacci, G. (2015). Consumer insights: think of yourself when buying for others. RSM Discovery - Management Knowledge, 23(3), 12-13. http://hdl.handle.net/1765/78691

Chapter (4)

Academic (4)
- Zallot, C., Paolacci, G., Chandler, J., & Sisso, I. (2022). Crowdsourcing in Observational and Experimental Research. In Handbook of Computational Social Science (Vol. 2, pp. 140-157). Routeledge (expected). https://doi.org/10.4324/9781003025245-12
- Leung, E., Paolacci, G., & Puntoni, S. (2019). How technology shapes identity-based consumer behavior. In Handbook of Research on Identity Theory in Marketing (pp. 240-254). Edward Elgar Publishing. https://doi.org/10.4337/9781788117739.00027
- Hauser, D., Paolacci, G., & Chandler, J. (2019). Common concerns with mturk as a participant pool: Evidence and solutions. In F. R. Kardes, P. M. Herr, & N. Schwarz (Eds.), Handbook of Research Methods in Consumer Psychology (pp. 319-337). Taylor and Francis Inc.. https://doi.org/10.4324/9781351137713
- Chandler, J., Paolacci, G., & Mueller, P. (2013). Risks and Rewards of Crowdsourcing Marketplaces. In P. Michelucci (Ed.), Handbook of Human Computation (pp. 377-392). Springer-Verlag. http://hdl.handle.net/1765/51293